Job Title: AWS Support Engineer / Data Engineer

Location: Ipswitch (onsite)

Job Type: Permanent

Job Summary: AWS Support Engineer / Data Engineer Telecom Domain (JD)

Key Skills & Expertise

AWS Core Services : S3, Redshift, Glue, Athena, Lake Formation, IAM

Data Engineering / ETL:

Building and optimizing ETL pipelines

Data ingestion, transformation & orchestration using AWS Glue (PySpark/Python)

Working with structured/semi-structured telecom datasets (CDRs, network logs, subscriber data)

Data Lake Technologies:

Expertise in Apache Iceberg table format

Schema evolution, partitioning, compaction & metadata management

Query performance tuning with Athena & Redshift Spectrum

Redshift Expertise:

Data modeling, distribution styles, sort keys

Workload management (WLM)

Performance optimization & troubleshooting

Python:

Automation scripts

Data processing workflows

Monitoring, debugging, validation scripts

AWS Support / Operations:

Troubleshooting ETL failures, performance bottlenecks, pipeline issues

Monitoring cloud workloads (CloudWatch, CloudTrail)

Handling incidents, root-cause analysis (RCA), patching & releases

Cost optimization and resource usage tracking

Telecom Domain:

Experience with OSS/BSS systems

Understanding of CDR processing, network KPIs, subscriber analytics

Data quality checks for telecom data pipelines

Roles & Responsibilities

Provide L2/L3 support for AWS-based data platforms in the telecom domain.

Maintain and enhance ETL pipelines built on Glue + Iceberg + Athena + Redshift.

Monitor production jobs, fix failures, optimize queries, and ensure SLA adherence.

Develop automation for operational workflows using Python.

Collaborate with data architects, business teams, and network teams for data requirements.

Implement best practices for data governance, security, and cost management.

Support migrations from legacy systems to AWS-native data lakes or Redshift.

Ideal Candidate Profile

3 10+ years of experience in AWS Data Engineering / Support Engineering.

Strong telecom domain understanding.

Hands-on with Iceberg, Athena, Glue (PySpark), Python, Redshift, S3, ETL frameworks.

Strong troubleshooting mindset and ability to work in 24 7 or rotational support environments (if required).

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